Full-Stack Developer

• Experience developing desktop and mobile applications
• Familiarity with common stacks
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of JavaScript frameworks (e.g. Angular, React, Node.js)
• Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design
• Excellent communication and teamwork skills
• Work with development teams and product managers to ideate software solutions
• Design client-side and server-side architecture
• Build the front-end of applications through appealing visual design
• Develop and manage well-functioning databases and applications
• Test software to ensure responsiveness and efficiency
• Troubleshoot, debug and upgrade software
• Create security and data protection settings
• Build features and applications with a mobile responsive design
• Write technical documentation

Nos of Resources required: 7 to 8

Work location: As of now Remote (Bangalore/Mumbai)

Qualification: BTech

Experience: 4 yrs – 8 yrs

Mobilization Period in weeks: 1 week

Duration: 6 to 12 months  

Position: NiFi /Big Data Developer 

Must Have Technical Skills: NiFi

Good to have Technical Skills: Python, ETL

Preferred Industry Experience: Telecom

·         Extensive experience on Nifi to setup data pipeline.

·         Hands on experience in using controllers and processors to setup ETL framework in Apache Nifi

·         Extensive experience in Python

·         Food understanding on Spark, Spark Streaming & PySpark.

·         Good understanding of Big Data components

Nos of Resources required: 2 to 3

Work location: Remote

Qualification: BTech

Experience: 4 yrs – 5 yrs

Mobilization Period in weeks: 1 week

Duration: 3 to 6 months  

Position: Hadoop Admin

Must Have Technical Skills: Hadoop Admin

Good to have Technical Skills: Linux Admin, ETL

·         Extensive experience with RedHat Linux and Cloudera is mandatory.

·         Experience in installing, configuring, upgrading and managing Hadoop environment.

·         Responsible for deployments, and monitor for capacity, performance, and/or troubleshooting issues.

·         Work closely with data scientists and data engineers to ensure the smooth operation of the platform.

·         End-to-end performance tuning of the clusters.

·         Maintains and administers computing environments including computer hardware, systems software, applications software, and all configurations.

·         Defines procedures for monitoring and evaluates, diagnoses and establishes work plan to resolve system issues.

·         Working knowledge of entire Hadoop ecosystem like HDFS, Hive, Yarn, Oozie, Kafka, Impala, Hive, Kudu, HBase, Spark and Spark Streaming.

·         Knowledge of Private and Public cloud computing and virtualization platform.

Nos of Resources required: 2 to 3

Work location: Remote

Qualification: BTech

Experience: 4 yrs – 5 yrs

Mobilization Period in weeks: 1 week

Duration: 3 to 6 months  

We need a proficient PySpark resource with good experience.

Our client, a home appliances manufacturer, wants to understand the past effectiveness of the marketing spend and take decisions regarding their future spend directions. We are looking for providers who could assist us in establishing the impact of key marketing variables.

Position: Support Engineer

Must Have Technical Skills: Azure Data Factory

Good to have Technical Skills: Knowledge of sql or hive, python, pyspark, hdfs or adls

Preferred Industry Experience: Manufacturing

 Role:

Monitor Batch Pipelines in the Data Analytical Platform and provide workaround to the problems.

Troubleshoot issues, provide workaround, determine root cause, upon failures.

Desired Qualification:

·         0-3 years of DE or batch support experience.

·         Must be willing to work completely in the night shift.

·         Ability to work on a task independently or with minimal supervision.

·         Knowledge of Data Orchestration Tool, preferably ADF.

·         Knowledge of sql or hive, python, pyspark, hdfs or adls.

·         Work location: Remotely.

Nos of Resources required: 1 to 2

Work location: Remote

Qualification: BE, BTech, MBA, MCA Prefer Comp. Sci. background

Experience: 0-3 Years

Mobilization Period in weeks: 1 week

Duration: 6 to 12 months